"Knowledge is power"
(sir Francis Bacon)

DATA + Elastic Stack = Information → Knowledge

Who we are at EcconsTech?

Our company was founded in 2020 with the intention of providing professional assistance in the use, design, and implementation of Elastic Stack platform. Over the years, we have successfully participated in several major international projects, particularly in the utility, banking, and telecommunications sectors. Additionally, we actively support domestic businesses in efficiently utilizing their data, organizing it, and creating search functionalities.

Web and Enterprise Search

"Enterprise search" is the practice of making content from various sources, such as databases and intranets, searchable for a specific audience.
"Enterprise search" refers to the description of an information retrieval software within an organization. It can be contrasted with web search, which applies search technology to documents on the open web, and desktop search, which applies search technology to the contents of a user's own computer. Enterprise search systems index data and documents from various sources, including file systems, intranets, document management systems, emails, and databases. Many enterprise search systems integrate structured and unstructured data into their collections. Some common applications and use cases of enterprise search include:
- **Document and Content Search:** Enterprise search allows users to easily find the organization's internal documents, such as presentations, contracts, research materials, or any other digital content. This improves work efficiency and reduces time spent searching.
- **Connections and Relationship Management:** Enterprise search can assist in discovering connections within an organization's internal network. For example, it can help find colleagues working on a specific project or those with similar expertise.
- **Business Intelligence and Decision-Making:** Enterprise search enables executives and decision-makers to easily access and search for data and reports that can aid in making strategic decisions. This facilitates informed decision-making and improves overall corporate performance.
- **Knowledge Base and Education:** Enterprise search may be suitable for creating and managing an organization's knowledge base. Additionally, it can support the search for educational materials and training resources, aiding in employee development and learning.
Enterprise search differs from web search and desktop search as it focuses on content and resources within the organization. It integrates and indexes various data sources, including file systems, intranets, document management systems, emails, and databases. Moreover, it provides efficient access to structured and unstructured data.

SIEM (Security information and event management)

Security Information and Event Management (SIEM) is a solution in the field of computer security where software products and services combine Security Information Management (SIM) and Security Event Management (SEM). SIEM systems record, analyze, and monitor information and events related to the security of computer systems and networks.
The benefits of these SIEM systems include:
- **Log Management:** SIEM allows for the collection and storage of logs and event data from various systems and devices. These logs are crucial for recording and analyzing security incidents.
- **Event Correlation and Analysis:** SIEM systems are capable of correlating and analyzing events and data to identify potential security threats or suspicious activities. This helps in the detection of incidents and breaches.
- **Incident Monitoring and Security Alerts:** SIEM systems monitor security events and incidents in real-time. When they detect abnormal activities, they generate alerts for immediate action.
SIEM systems play a crucial role in enhancing IT security and defending against cyber threats by enabling quicker identification of potential threats and prompt responses. SIEM helps organizations better prepare for security challenges and data protection.

APM (Application performance monitoring)

In the field of information technology and system management, Application Performance Monitoring (APM) refers to the supervision and management of software application performance and availability. APM aims to detect and diagnose complex issues related to application performance in order to maintain the expected level of service.
As the digital world significantly impacts our daily lives, even slight feature loss or slowdown can cause significant degradation in user experience on a given platform, whether it's in finance, online entertainment, or work. For such service providers and similar entities, APM tools are crucial for detecting, mitigating, and resolving the processes responsible for any encountered issues.
This use of APM tools encompasses features like business transaction monitoring, deep dive component monitoring, and analytics/reporting.


With the Elastic Stack, you can create a comprehensive monitoring solution with pre-built components. This solution monitors infrastructure (uptime/metrics) and provides log analysis capabilities. It can handle hybrid systems, whether they are deployed locally or in the cloud. The Monitoring solution offers a wide range of predefined dashboards and alerts to assist network and infrastructure operators in their work. In addition to the default components, additional elements can be implemented (visualizations, alerts, Machine Learning jobs, etc.) to fully support IT operational needs.
By using the Elastic Stack, you can also harness the benefits of AI (Artificial Intelligence). AI technologies enable the system to learn and respond to data, automatically detecting unusual patterns or potential issues. This allows AI to assist in making systems more efficient and reliable by predicting possible errors and even offering solutions. Adding AI-based elements to the Elastic Stack monitoring solution further enhances system performance and troubleshooting, enabling proactive measures to prevent problems.

Banking solutions

In banking sector Elastic Stack is primarily used as a basis of monitoring, alerting and fraud detection systems. At the same time, it is also possible to compile a marketing inspection solution for the analysis of customer data with this package.
– To meet and exceed rapidly changing customer expectations.
– Maintaining and increasing customer retention.
– Be flexible in meeting new and ongoing regulatory requirements.
– Speeds up risk assessment.
– Manage ongoing cyber security attacks and risk management.
– Handle partner and borrower risk analysis in capital management.

Manufacturing and process optimization

The manufacturing processes of today are increasingly automated, and the use of Elastic Stack is the perfect solution for monitoring these processes. Furthermore, the machine learning solution of the system can also be used to predict the needs of the processes.
The transformation of digital manufacturing is accelerating, the shortage of skilled labor and the preference of employees to work remotely is likely to continue for the foreseeable future. Thus, industrial digitalization and Industry 4.0 are now more likely than ever to accelerate. A McKinsey study emphasizes that machine learning (ML) can improve the accuracy of demand planning and forecasting by more than 85%. Tools that integrate ML with data analytics serve additional applications such as predictive maintenance, robotic process automation, and anomaly detection.

Telecommunication sector

Similar to banking solutions, the telecommunications sector also has serious opportunities in the use of Elastic Stack in similar areas (network monitoring, alerts, fraud detection, marketing analysis). Since the operation of the telecommunications service provider's network involves a very large amount of data (even more than in the case of banks or utilities), an operational capacity comparable to the Elastic Stack is essential for the near-real-time processing/management of this data.
Furthermore, to provide a solution for the management and analysis of the huge amount of data generated in the m2m area - these data represent a huge value not only for the service provider, but also for the service provider's customers/partners. Thanks to Elastic Stack's advanced data security solutions, customers/partners can easily be offered relevant data, while they will not have any access to data that is not their own.

Public utilities

Public service providers have a huge amount of data as a result of their daily operations. The data generated in this way can be transformed into information with the help of Elastic Stack. Based on this data, a complete monitoring and alarm system can be built, and training demand predictions can be made using machine learning.

The use of artificial intelligence (AI)-driven solutions, especially machine learning, allows utilities to harness the power of their data to make mission-critical decisions. When utilities apply machine learning to manage risk, they are better prepared to meet the challenges of the current environment and be ready for what lies ahead.

Public Sector

The application of the Elastic Stack in public administration can offer numerous advantages. Public administration generates a significant amount of data, and analyzing and managing this data is crucial for efficient operations. With the help of the Elastic Stack, this data can be processed quickly and efficiently, transforming it into structured information.
Based on this data, systems can be designed to assist authorities in monitoring their performance and identifying potential issues promptly. Furthermore, through monitoring and alerting functionalities, authorities can respond more swiftly to emerging challenges.
The machine learning capabilities of the Elastic Stack can provide additional benefits to public administration. AI-based models can be used to make predictions, such as those related to civic demands, urban planning, and resource allocation. This can enhance the efficiency of authorities and enable them to better adapt public services to the needs and changes of the population.
In summary, the use of the Elastic Stack allows public administration to handle data more effectively and respond quickly to emerging challenges, while also offering the potential for implementing machine learning-based predictions.

Information from data

Information inherently holds value, whether it's social, scientific, economic, or even political. With information, we have the capability to enhance existing value, making it value-added. Due to its value, it can generate profit or even extra profit. Information possesses characteristics such as quantity, quality, usability, accessibility, comprehensibility, and protection.
In the 21st century, data and data analysis are increasingly referred to as a business opportunity. "Big Data" has transformed how we approach data, allowing us to rapidly and intelligently transform it into information and subsequently into business decisions, much faster than even a decade ago. The IT sector has made significant leaps in data processing over the past decade. There's no daily activity that doesn't generate data, and we can assist you in harnessing the potential of these data.

Some of our projects

Banking and financial sector

We are pleased that we were able to finalize the Elastic Cloud-based alerting-monitoring and event management solution with our partner RS2. In this way, we unified the supervision of the systems handling payment transactions, and it became possible to issue alerts based on interdependent sub-applications (Cross Application Alerting). We were able to introduce Elastic Stack's machine learning in the field of monitoring financial transactions, thereby freeing up time and energy resources. Through trend analysis, more accurate alerts and transaction number forecasts were realized for leading international banks and Fintech companies.

Public utilities - critical infrastructures

We received an invitation from the American company Itron that we could participate as a member of an international team in the implementation of system monitoring planned for the electricity and gas distribution company of a South-East Asian dwarf state, affecting their entire electrical network. Our task was no less than the development and implementation of detailed plans based on the existing architecture plans of the entire monitoring system. Among the technologies used was the connection of Nagios and Elastic Stack to the Federos Assure1 error ticket manager via SNMP Traps. Complete visualization in Kibana for dozens of components and create alerts. Finally, combined into an installation package created on the basis of Ansible, which provides a way to install in an environment without internet access.


A log analysis system based on Elastic Stack was implemented for the Spanish Orange Telecom, which integrated the Cross Cluster Search (CCS) solution into the international orange Elastic Stack cluster.

Online retail

We have helped our partner in creating the most optimal search processes for the product catalog of her webshop, so that they can fully satisfy the user experience, in which the most relevant products are presented to them.

Professional services

Our team at EcconsTech is proud to have Hungary's first Elastic Certified Engineer. We offer flexible and comprehensive solutions to our clients, harnessing the versatility and efficiency of Elastic Stack tools.
We offer complex solutions to our customers using applications of Elastic Stack tools.
°We can help you if your project is stuck and you need occasional help.
°We carry out a compatibility test of existing solutions.
°We make a proposal for the architecture, and undertake comprehensive solution design.
° We help you choose and purchase the right Elastic license.
° We undertake the implementation of complete systems.
° We display your data with Kibana dashboard visualizations.
° We provide user training for implemented solutions.

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